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I can't find some documentation. I had right-skewed target (sale price) variable and also some skewed features at the same way. I did log transformation and fit the regression model and it doing well. But I can't understand how I can return to normal sale price. Please, someone explain me

Olha
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Exponentiation is the inverse function of logarithms. You can return to the original sale price like this:

$orignal = B^{x}$

where $B$ is the logarithm base and $x$ is the log-transformed sale price.

For example, a natural log transform is reversed by $f(x) = e^x$ and log base 10 is reversed by $f(x) = 10^x$

zachdj
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